Validation accuracy that appears different from the graph in DeepNetworkDesigner

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Anastasia Codirenzi
回答： Jack Xiao 2021-2-21
Hi all!
I've been using DeepNetworkDesigner and have noticed that the final validation accuracy and validation loss do not seem to match what I would read off the plot. For instance, in the image below I would have expected training validation to be about 90% and the loss to be ~2. Instead, it reported 48% and a loss of nearly 8. Can anyone explain to me why this is happening and it is shooting up at the end?

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回答（1 个）

Jack Xiao
Jack Xiao 2021-2-21
it is overfit. add more training data, or add dropout layer, or reduce net layers.

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